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- Fairness in Classification
- Three demographic fairness criteria
- Independence
- Separation
- Sufficiency
- Equalized odds post-processing algorithmic interventions
- Complete two notebook demos (FICO and COMPAS)
- Word embedding bias
- Measuring bias with WEAT method
- Documentation improvements
- Fixing security issues with dependencies